ceas: Cellular Energetics Analysis Software
Measuring cellular energetics is essential to understanding a matrix’s (e.g. cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization using the methods described by Mookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.
| Version: | 1.3.0 |
| Imports: | data.table, ggplot2, lme4, readxl, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-12-21 |
| DOI: | 10.32614/CRAN.package.ceas |
| Author: | Rachel House 
[aut, cre],
James P. Eapen
[aut],
Hui Shen [fnd],
Carrie R. Graveel
[fnd],
Matthew R. Steensma
[fnd],
Van Andel Institute [cph] |
| Maintainer: | Rachel House <rachel.house at vai.org> |
| BugReports: | https://github.com/jamespeapen/ceas/issues/ |
| License: | MIT + file LICENSE |
| URL: | https://jamespeapen.github.io/ceas/, https://github.com/jamespeapen/ceas/ |
| NeedsCompilation: | no |
| Citation: | ceas citation info |
| Materials: | README NEWS |
| CRAN checks: | ceas results |
Documentation:
| Reference manual: | ceas.pdf |
| Vignettes: |
ATP calculation (source, R code) Getting started with CEAS (source, R code) |
Downloads:
| Package source: | ceas_1.3.0.tar.gz |
| Windows binaries: | r-devel: ceas_1.3.0.zip, r-release: ceas_1.3.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): ceas_1.0.0.tgz, r-oldrel (arm64): ceas_1.0.0.tgz, r-release (x86_64): ceas_1.3.0.tgz, r-oldrel (x86_64): ceas_1.3.0.tgz |
| Old sources: | ceas archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=ceas to link to this page.